code: def test_train_with_test_set(self):
      params = Params(
          {
              "model": {
                  "type": "simple_tagger",
                  "text_field_embedder": {
                      "tokens": {
                          "type": "embedding",
                          "embedding_dim": 5,
                      }
                  },
                  "encoder": {
                      "type": "lstm",
                      "input_size": 5,
                      "hidden_size": 7,
                      "num_layers": 2,
                  },
              },
              "dataset_reader": {"type": "lazy-test"},
              "train_data_path": SEQUENCE_TAGGING_DATA_PATH,
              "test_data_path": SEQUENCE_TAGGING_DATA_PATH,
              "validation_data_path": SEQUENCE_TAGGING_DATA_PATH,
              "evaluate_on_test": True,
              "iterator": {"type": "basic", "batch_size": 2},
              "trainer": {"num_epochs": 2, "optimizer": "adam"},
          }
      )
  
      train_model(
          params,
          serialization_dir=os.path.join(
              self.TEST_DIR, "lazy_test_set"
          ),
      )
  
imports: from __future__ import with_statement
  from __future__ import division
  from __future__ import absolute_import
  import argparse
  import os
  import shutil
  import re
  import pytest
  import torch
  from allennlp.common import Params
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.commands.train import Train, train_model, train_model_from_args
  from allennlp.data import DatasetReader, Instance
  from io import open
label_desc: Use image node_id 2 for calling the TestTrainOnLazyDataset obj's underlying member method code with example usage: obj.test_train_with_test_set() without return types